hBreastMMG
Empowering mammogram interpretations with AI-driven precision, hBreastMMG transforms breast cancer diagnostics.
Utilizing the ACR-BIRADS 2013 guide, hBreastMMG offers accurate breast density categorization, facilitating more informed diagnostics.
By evaluating lesions and calculating their potential indication of breast cancer, combined with AI-powered confidence scores, hBreastMMG ensures radiologists are equipped with precise insights.
Built for adaptability, hBreastMMG seamlessly integrates with PACS, mammography devices, and hospital infrastructures, ensuring a smooth integration into existing clinical workflows.
hBreastMMG Key Features Include:
- Harnesses state-of-the-art deep learning technology for meticulous mammogram analysis.
- Breast density assessment (categories A, B, C, and D) as per the ACR-BIRADS 2013 guide.
- Determination of BIRADS scores for precise mammographic interpretation.
- Evaluation of lesions and calculation of their probability of being indicative of breast cancer.
- AI-powered confidence scores to augment diagnostic precision.
- Visual representation of BIRADS scores and breast density categories for enhanced clarity.
- Seamless integration with PACS, mammography devices, and diverse hospital infrastructures.
- Comprehensive report encapsulates key images and visual representation of BIRADS results and breast density assessments.